5 papers
Efficient Reduced Basis Algorithm (ERBA) for kernel-based approximation
Francesco Marchetti, Emma Perracchione
The main purpose of this work is the one of providing an efficient scheme for constructing reduced interpolation models for kernel bases. In literature such problem is mainly addre…
Data-driven reduced order modeling of environmental hydrodynamics using deep autoencoders and neural ODEs
Sourav Dutta, Peter Rivera-Casillas, Orie M. Cecil +3
Model reduction for fluid flow simulation continues to be of great interest across a number of scientific and engineering fields. In a previous work [arXiv:2104.13962], we explored…
Feature augmentation for the inversion of the Fourier transform with limited data
Emma Perracchione, Anna Maria Massone, Michele Piana
We investigate an interpolation/extrapolation method that, given scattered observations of the Fourier transform, approximates its inverse. The interpolation algorithm takes advant…
Visibility Interpolation in Solar Hard X-ray Imaging: Application to RHESSI and STIX
Emma Perracchione, Paolo Massa, Anna Maria Massone +1
Space telescopes for solar hard X-ray imaging provide observations made of sampled Fourier components of the incoming photon flux. The aim of this study is to design an image recon…
Data-driven extrapolation via feature augmentation based on variably scaled thin plate splines
Rosanna Campagna, Emma Perracchione
The data driven extrapolation requires the definition of a functional model depending on the available data and has the application scope of providing reliable predictions on the u…